Triple

T6625898
Position Surface form Disambiguated ID Type / Status
Subject Menden E149798 entity
Predicate hasSuburb P747 FINISHED
Object Lendringsen
Lendringsen is a suburban district of the town of Menden in North Rhine-Westphalia, Germany, characterized by its residential areas and local amenities.
 E607460 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lendringsen | Statement: [Menden, hasSuburb, Lendringsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lendringsen
Context triple: [Menden, hasSuburb, Lendringsen]
  • A. Leende
    Leende is a village in the Dutch province of North Brabant, historically part of the baronial estate of Heeze, Leende and Zesgehuchten.
  • B. Løten
    Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
  • C. Lædingr
    Lædingr is the first massive iron chain forged by the gods in Norse mythology in an unsuccessful attempt to bind the monstrous wolf Fenrir.
  • D. Dovrebanen
    Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
  • E. Lantrådet
    Lantrådet is the title used for the head of government of the autonomous Finnish region of Åland.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lendringsen
Triple: [Menden, hasSuburb, Lendringsen]
Generated description
Lendringsen is a suburban district of the town of Menden in North Rhine-Westphalia, Germany, characterized by its residential areas and local amenities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lendringsen
Target entity description: Lendringsen is a suburban district of the town of Menden in North Rhine-Westphalia, Germany, characterized by its residential areas and local amenities.
  • A. Leende
    Leende is a village in the Dutch province of North Brabant, historically part of the baronial estate of Heeze, Leende and Zesgehuchten.
  • B. Løten
    Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
  • C. Lædingr
    Lædingr is the first massive iron chain forged by the gods in Norse mythology in an unsuccessful attempt to bind the monstrous wolf Fenrir.
  • D. Dovrebanen
    Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
  • E. Lantrådet
    Lantrådet is the title used for the head of government of the autonomous Finnish region of Åland.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af8187d881908b7a86f2cae5de23 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44d356c8190ad4f2a617c3de4af completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e5b236888190b108de51c730179a completed March 27, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69c6e7ce9aa88190abd000a13c00a070 completed March 27, 2026, 8:25 p.m.
Created at: March 27, 2026, 1:58 p.m.